This blog shows you how you can integrate JobRunr with Play Framework. JobRunr is one of the popular background processing for a JVM application, but it is catered toward Java and Spring Boot. Since there's no popular Scala background processing framework, and I don't want to

I've realised that return in Scala only apply to a method. This led me to a cool early exit trick that I use everywhere. It looks a bit off because I, for some reason, think return should have applied to the current lambda. But that's not

Our team was perplexed with the date parsing logic where it seemed we couldn't parse 11/19/2024 11:25 am or 11/19/2024 11:25 AM depending on the machine. I eventually decided to ask on Reddit's r/javahelp. It turns out that it

This should work on Heroku or in any Docker-based deployment as well. Adding Chrome and ChromeDriver into a GraalVM Docker image isn't as straightforward as I thought. The main complication originates from the fact that GraalVM is lean. There are 2 problems from being lean: (1) microdnf as

Yesterday I was choosing a monitoring system for our production app. I was looking at NewRelic, Datadog, and ScoutAPM. Unfortunately, ScoutAPM doesn't support JVM applications. It looks great though. I've eventually chosen NewRelic due to ease of integration. It's quite straightforward if you know

A Chromecast doesn't support signing in to a wifi that requires you to sign in through a browser. You can imagine most hotels are using this kind of wifis. A wifi with 2-step sign-in is probably using a MAC address as an identifier. Therefore, a way to solve

Imagine you go to the DMV. The DMV has a waiting time of 3 hours. One employee walks up to you and says "oh well hey we have a new beta program for you, and you'll only need to wait 1 minute instead of 3 hours."

When building a web application on Playframework, there is no good way to integrate a JS framework like Svelte. The only way is to run Play and run the npm watch in 2 separate terminals. One is to build the backend code, and the other is to build the frontend

Repository: https://github.com/tanin47/lilit-sql At the company I work at, we are building an analytics product on top of Presto, which supports SQL as its interface. We have a lot of long SQL statements to power charts, tables, and CSVs. When I say long, a final SQL statement